A package for tracking historical sentiment data from Twitter over certain keywords
Project description
Twitter Sentiment Tracker
Summer 2022 ACO 499
Tracks Twitter sentiment over time using Tweets that contain certain keywords and meet certain conditions. The data retrieved from Twitter can then be stored for later use, and an HTML file will open at the end of execution that describes the process and methodologies of data collection. Twitter's rate limits should be well understood BEFORE this package is run, as the Search API has hard restritions on how many Tweets can be retrieved per month, 15 min, and second depending on user's access level and the search type. In general, using default parameters in this package and not re-searching over the same date range will not cause the user to exceed these limits. You must have a Twitter Search API v2 bearer token to use this software.
To Install:
Enter into a command line terminal
pip install twitsent
To Execute:
Also in the terminal, type
python -m twitsent
OR
python3 -m twitsent
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